Computational biologists apply computational methods to analyze biological data, ranging from DNA sequences to protein structures. They develop models and algorithms to understand complex biological processes, predict the behavior of organisms, and investigate genetic disorders.

Computational chemists employ computational techniques to simulate and predict chemical reactions and properties of molecules. They develop mathematical models, algorithms, and software tools to advance drug discovery, material design, and understand chemical phenomena.

Computational physicists use numerical simulations and computer models to study physical systems and phenomena. They apply mathematical algorithms to simulate particle interactions, fluid dynamics, astrophysical phenomena, and other physics-related problems.

Computational engineers use computational methods to solve engineering problems and optimize designs. They develop mathematical models, conduct simulations, and employ optimization techniques to enhance the performance and efficiency of various engineering systems, such as aerodynamics, structural analysis, or energy systems.

Data scientists utilize computational techniques, statistics, and machine learning algorithms to analyze and interpret large datasets. They extract insights, create predictive models, and develop data-driven solutions for various industries, including finance, healthcare, marketing, and energy.

Computational social scientists analyze social phenomena and human behavior by employing computational models, simulations, and data analysis techniques. They investigate social networks, study contagious diseases' spread, model crowd behavior, and evaluate policy decisions' impact.

Computational linguists apply computational methods to study human language, develop natural language processing algorithms, and build language models. They work on tasks like machine translation, speech recognition, sentiment analysis, and information retrieval.

Computational economists employ computational models and algorithms to study economic phenomena and make economic predictions. They simulate economic systems, model decision-making processes, and analyze the effects of policy changes on economies.